Shangling Jui
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
14
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ISCAS | LPerceptual Quality Assessment of AI Generated Content Videos: a Dataset and Benchmark. | Zhichao Zhang, Wei Sun, Xinyue Li, Yunhao Li, Jun Jia, Xiongkuo Min, Zicheng Zhang, Chunyi Li, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Guangtao Zhai |
| 2024 | AAAI | A Theory of Non-acyclic Generative Flow Networks. | Leo Maxime Brunswic, Yinchuan Li, Yushun Xu, Yijun Feng, Shangling Jui, Lizhuang Ma |
| 2024 | ICML | Rethinking Optimization and Architecture for Tiny Language Models. | Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang |
| 2023 | AAAI | GENNAPE: Towards Generalized Neural Architecture Performance Estimators. | Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu |
| 2023 | AAAI | AIO-P: Expanding Neural Performance Predictors beyond Image Classification. | Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui |
| 2023 | ICLR | Reparameterization through Spatial Gradient Scaling. | Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu |
| 2023 | SDM | A General-Purpose Transferable Predictor for Neural Architecture Search. | Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu |
| 2022 | AAAI | Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability. | Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong |
| 2022 | BMVC | Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification. | Kai Wang, Chenshen Wu, Andy Bagdanov, Xialei Liu, Shiqi Yang, Shangling Jui, Joost van de Weijer |
| 2022 | CVPR | Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition. | Kai Wang, Xialei Liu, Andy Bagdanov, Luis Herranz, Shangling Jui, Joost van de Weijer |
| 2022 | ICLR | R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. | Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu |
| 2022 | ICLR | Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data. | Yaxing Wang, Joost van de Weijer, Lu Yu, Shangling Jui |
| 2022 | SoCS | A Memory-Bounded Best-First Beam Search and Its Application to Scheduling Halide Programs. | Chao Gao, Jingwei Chen, Tong Mo, Tanvir Sajed, Shangling Jui, Min Qin, Laiyuan Gong, Wei Lu |
| 2021 | CIKM | L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. | Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu |
| 2021 | CIKM | Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. | Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu |
| 2021 | CVPR | ReNAS: Relativistic Evaluation of Neural Architecture Search. | Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu |
| 2021 | ICCV | Generalized Source-free Domain Adaptation. | Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui |
| 2021 | IJCAI | Generative Adversarial Neural Architecture Search. | Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui |
| 2021 | ICTAI | Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. | Chao Gao, Tong Mo, Taylor Zowtuk, Tanvir Sajed, Laiyuan Gong, Hanxuan Chen, Shangling Jui, Wei Lu |
| 2021 | ITC | Adaptive NN-based Root Cause Analysis in Volume Diagnosis for Yield Improvement. | Xin Huang, Min Qin, Ruosheng Xu, Cheng Chen, Shangling Jui, Zhihao Ding, Pengyun Li, Yu Huang |
| 2020 | CVPR | Semantic Drift Compensation for Class-Incremental Learning. | Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, Joost van de Weijer |
| 2020 | CVPR | Generative Feature Replay For Class-Incremental Learning. | Xialei Liu, Chenshen Wu, Mikel Menta, Luis Herranz, Bogdan Raducanu, Andrew D. Bagdanov, Shangling Jui, Joost van de Weijer |
| 2020 | Interspeech | Neural Architecture Search for Keyword Spotting. | Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui |